Deep Learning With Python Simple And Effective Tips And Tricks To Learn Deep Learning With Python
epub | 4.91 MB | English | Isbn:B08GL5CMDW |Author: Smith, Benjamin | Page: 167 | Year: 2020
Description:
Are you looking to take your machine learning knowledge further?
Want to understand what deep learning is all about?
Then you've picked the right book.
With "Deep learning with Python: Simple and Effective Tips and Tricks to Learn Deep Learning with Python," you will learn the basics of deep learning, what it is and what it is used for. In particular, we focus on using the Python programming language over any other, given that it is the most popular programming language for data sciences.
You will learn:
•What deep learning is and how it works
•Different deep learning methods
•What its limitations and challenges are
•Why we prefer to use Python
•The best Python libraries for deep learning
•Overviews of classification, regression, and clustering tasks
•Algorithms and activation functions
•What neural nets are
•Recurrent neural networks and LSTMs
•Convolutional neural networks and image processing
•An introduction to deep reinforcement learning
•And much more!
You'll also get the chance to build a deep learning model using TensorFlow and Keras.
Are you excited to get started?
Then scroll up, hit that "Buy Now" button and get started on the next level in your data science journey.
Want to understand what deep learning is all about?
Then you've picked the right book.
With "Deep learning with Python: Simple and Effective Tips and Tricks to Learn Deep Learning with Python," you will learn the basics of deep learning, what it is and what it is used for. In particular, we focus on using the Python programming language over any other, given that it is the most popular programming language for data sciences.
You will learn:
•What deep learning is and how it works
•Different deep learning methods
•What its limitations and challenges are
•Why we prefer to use Python
•The best Python libraries for deep learning
•Overviews of classification, regression, and clustering tasks
•Algorithms and activation functions
•What neural nets are
•Recurrent neural networks and LSTMs
•Convolutional neural networks and image processing
•An introduction to deep reinforcement learning
•And much more!
You'll also get the chance to build a deep learning model using TensorFlow and Keras.
Are you excited to get started?
Then scroll up, hit that "Buy Now" button and get started on the next level in your data science journey.
Category:Natural Language Processing, Neural Networks, Natural Language Processing
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